基于小波变换的飞机电力作动系统故障诊断  

The Fault Diagnosis of the Aircraft Electromechanical Actuation System Based on Wavelet Transformation

作　　者：肖蕾[1] 李颖晖[1] 赵鹍[1] 钟世刚[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《空军工程大学学报（自然科学版）》2009年第5期55-58,共4页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国防预研基金资助项目(9140A27020307JB32)

摘　　要：电力作动系统是多电/全电飞机上完成各任务操作的最后环节,其工作状态直接影响飞行安全。针对飞机机电作动系统不同部件的故障信息处于不同频带的特点,提出一种基于"能量—故障状态"的故障诊断模式识别方法。通过小波包分解,把原始信号正交分解到不同的频带内,利用各频率成分的变化,选择合适的能量特征向量对各故障目标进行特征提取,从而建立能量变化到各故障原因和类别的映射关系,通过与对应故障特征向量的标准样本进行比较,即可得出电力作动系统当前有无故障和故障轻重程度的结论。通过匝间短路故障诊断仿真实例验证了该方法的正确性和有效性。The electromechanical actuation system is the last link for completing all the task operation in the modern airplane, and its working condition directly influences the flight safety. According to the characteristic that the fault information of different components of the aircraft electromechanical actuation system is in different bands, a new pattern recognition method of fault diagnosis based on ＂energy - fault state＂ is proposed. First the original signal is orthogonally decomposed into different bands by wavelet packet transformation, and the target fault features are extracted by the chosen eigenvector. Then the mapping relation between energy and fault state is obtained, which can be used as the judgment of fault degree through the comparison with the standard sample of the corresponding eigenvector. Finally the paper verifies the correctness and effectiveness of the method by the simulation example of the fault diagnosis in interturn short circuit

关 键 词：电力作动系统 故障诊断 小波包 

分 类 号：TP306.3[自动化与计算机技术—计算机系统结构]